Ute A. Gamm

41 total papers · 489 total citations
23 papers, 362 citations indexed

About

Ute A. Gamm is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ute A. Gamm has authored 23 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biomedical Engineering, 13 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ute A. Gamm's work include Optical Imaging and Spectroscopy Techniques (13 papers), Photoacoustic and Ultrasonic Imaging (11 papers) and Non-Invasive Vital Sign Monitoring (8 papers). Ute A. Gamm is often cited by papers focused on Optical Imaging and Spectroscopy Techniques (13 papers), Photoacoustic and Ultrasonic Imaging (11 papers) and Non-Invasive Vital Sign Monitoring (8 papers). Ute A. Gamm collaborates with scholars based in Netherlands, United States and Germany. Ute A. Gamm's co-authors include Arjen Amelink, Dominic J. Robinson, Henricus J. C. M. Sterenborg, Stephen C. Kanick, Michael A. Choma, Christopher L. Hoy, Clemens W.G.M. Löwik, Pieter B. A. A. van Driel, Mustafa K. Khokha and Vineet Bhandari and has published in prestigious journals such as Scientific Reports, Optics Letters and Journal of Biomedical Optics.

In The Last Decade

Ute A. Gamm

21 papers receiving 352 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ute A. Gamm	225	204	91	53	50	23	362
S. Yu. Ksenofontov	296 1.3×	119 0.6×	40 0.4×	58 1.1×	42 0.8×	34	351
Brian M. Pikkula	106 0.5×	180 0.9×	33 0.4×	34 0.6×	37 0.7×	26	399
Hinnerk Schulz‐Hildebrandt	283 1.3×	105 0.5×	44 0.5×	108 2.0×	47 0.9×	41	393
Ousama M. A’Amar	242 1.1×	240 1.2×	62 0.7×	95 1.8×	22 0.4×	23	386
Sebina Shrestha	203 0.9×	91 0.4×	66 0.7×	136 2.6×	56 1.1×	17	335
Angelica Chiorean	102 0.5×	112 0.5×	28 0.3×	42 0.8×	45 0.9×	27	327
Rupananda J. Mallia	144 0.6×	105 0.5×	84 0.9×	108 2.0×	19 0.4×	15	360
Hyder Arastu	153 0.7×	127 0.6×	103 1.1×	7 0.1×	36 0.7×	25	380
Yamin Mao	222 1.0×	134 0.7×	110 1.2×	32 0.6×	75 1.5×	21	382
Charles Botstein	159 0.7×	53 0.3×	55 0.6×	27 0.5×	49 1.0×	28	334

Countries citing papers authored by Ute A. Gamm

Since Specialization

Citations

This map shows the geographic impact of Ute A. Gamm's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ute A. Gamm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ute A. Gamm more than expected).

Fields of papers citing papers by Ute A. Gamm

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ute A. Gamm. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ute A. Gamm. The network helps show where Ute A. Gamm may publish in the future.

Co-authorship network of co-authors of Ute A. Gamm

This figure shows the co-authorship network connecting the top 25 collaborators of Ute A. Gamm. A scholar is included among the top collaborators of Ute A. Gamm based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ute A. Gamm. Ute A. Gamm is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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